Adaptive Clustering with Feature Ranking for DDoS Attacks Detection

@article{Zi2010AdaptiveCW,
  title={Adaptive Clustering with Feature Ranking for DDoS Attacks Detection},
  author={Lifang Zi and John Yearwood and Xin Wen Wu},
  journal={2010 Fourth International Conference on Network and System Security},
  year={2010},
  pages={281-286}
}
Distributed Denial of Service (DDoS) attacks pose an increasing threat to the current internet. The detection of such attacks plays an important role in maintaining the security of networks. In this paper, we propose a novel adaptive clustering method combined with feature ranking for DDoS attacks detection. First, based on the analysis of network traffic, preliminary variables are selected. Second, the Modified Global K-means algorithm (MGKM) is used as the basic incremental clustering… CONTINUE READING
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